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Improving accuracy in the MPM method using a null space filter

Overview of attention for article published in Computational Particle Mechanics, September 2016
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Mentioned by

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1 X user

Citations

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14 Dimensions

Readers on

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23 Mendeley
Title
Improving accuracy in the MPM method using a null space filter
Published in
Computational Particle Mechanics, September 2016
DOI 10.1007/s40571-016-0134-3
Authors

Chris Gritton, Martin Berzins

X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Australia 1 4%
Unknown 22 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 5 22%
Researcher 3 13%
Professor 3 13%
Student > Doctoral Student 2 9%
Student > Master 2 9%
Other 2 9%
Unknown 6 26%
Readers by discipline Count As %
Engineering 12 52%
Mathematics 1 4%
Chemistry 1 4%
Earth and Planetary Sciences 1 4%
Unknown 8 35%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 21 September 2016.
All research outputs
#18,472,072
of 22,889,074 outputs
Outputs from Computational Particle Mechanics
#113
of 293 outputs
Outputs of similar age
#243,108
of 320,232 outputs
Outputs of similar age from Computational Particle Mechanics
#4
of 4 outputs
Altmetric has tracked 22,889,074 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 293 research outputs from this source. They receive a mean Attention Score of 1.2. This one is in the 38th percentile – i.e., 38% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 320,232 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 4 others from the same source and published within six weeks on either side of this one.